Persistent AI Memory with HTTP API and CLI

Persistent AI Memory with HTTP API and CLI

This MCP server provides a robust solution for persistent AI memory, designed for developers building complex AI applications. It offers a direct interface for storing and retrieving conversational context, enabling AI agents to maintain state and learn over time without relying on external cloud services. The architecture prioritizes performance, flexibility, and data integrity, making it an ideal component for advanced AI development workflows.

What it Does

The Persistent AI Memory server acts as a central repository for AI conversational data. It allows AI models and clients to store and query past interactions, effectively creating a long-term memory for your AI agents. This is crucial for applications requiring context awareness, personalized responses, and the ability to build upon previous conversations. By leveraging SQLite FTS5, it ensures efficient full-text search capabilities directly within the memory store.

Key Features

• Persistent Storage: Stores AI conversation history and context reliably.
• HTTP API: Provides a standard interface for seamless integration with various AI clients and models.
• CLI Interface: Offers command-line tools for direct interaction and management of the memory store.
• Model Agnostic: Compatible with multiple AI models, allowing flexibility in your tech stack.
• Zero Cloud Dependencies: Operates entirely locally, ensuring data privacy and control.
• SQLite FTS5: Utilizes advanced full-text search for efficient data retrieval.
• MCP Server: Implemented as an MCP (Message Communication Protocol) server for efficient communication.

Who it's For

This tool is specifically designed for AI developers, researchers, and engineers who are building applications that require sophisticated memory management. It is ideal for:

• Developers creating chatbots and virtual assistants that need to remember past interactions.
• AI agents requiring statefulness and context across multiple sessions.
• Projects prioritizing data privacy and local control over cloud-based solutions.
• Teams looking for a flexible and performant memory solution compatible with various AI models.
• Anyone building custom AI systems where persistent, searchable memory is a core requirement.